Michael Hahsler

Michael Hahsler and Kurt Hornik. Dissimilarity Plots: A Visual Exploration Tool for Partitional Clustering. Journal of Computational and Graphical Statistics, accepted for publication, August 2010.

Rao M. Kotamarti, Michael Hahsler, Douglas Raiford, Monnie McGee, and Margaret H. Dunham. Analyzing Taxonomic Classification Using Extensible Markov Models. Bioinformatics, 2010. Advance Access published July 12, 2010.

Michael Hahsler and Margaret H. Dunham. rEMM: Extensible Markov Model for data stream clustering in R. Journal of Statistical Software, 35(5):131, 2010.

Michael Hahsler, Christian Buchta, and Kurt Hornik. Selective association rule generation.Computational Statistics, 12(2):303315, April 2008.

Michael Hahsler, Kurt Hornik, and Christian Buchta. Getting things in order: An introduction to the R package seriation. Journal of Statistical Software, 25(3):134, March 2008.

Michael Hahsler and Kurt Hornik. TSP Infrastructure for the traveling salesperson problem.Journal of Statistical Software, 23(2):121, December 2007.

Michael Hahsler and Kurt Hornik. New probabilistic interest measures for association rules. Intelligent Data Analysis, 11(5):437455, 2007.

Thomas Reutterer, Michael Hahsler, and Kurt Hornik. Data Mining und Marketing am Beispiel der explorativen Warenkorbanalyse. Marketing ZFP, 29(3):165181, 2007.

Michael Hahsler. A modelbased frequency constraint for mining associations from transaction data. Data Mining and Knowledge Discovery, 13(2):137166, September 2006.

Christoph Breidert, Michael Hahsler, and Thomas Reutterer. A review of methods for measuring willingnesstopay.Innovative Marketing, 2(4):832, 2006.

Michael Hahsler, Bettina Grün, and Kurt Hornik. arules A computational environment for mining association rules and frequent item sets. Journal of Statistical Software, 14(15):125, October 2005.

Michael Hahsler. Integrating digital document acquisition into a university library: A case study of social and organizational challenges. Journal of Digital Information Management, 1(4):162171, December 2003.

Wolfgang Gaul, Andreas GeyerSchulz, Michael Hahsler, and Lars SchmidtThieme. eMarketing mittels Recommendersystemen. Marketing ZFP, 24:4755, 2002.

Andreas GeyerSchulz, Michael Hahsler, and Maximillian Jahn. Educational and scientific recommender systems: Designing the information channels of the virtual university. International Journal of Engineering Education, 17(2):153163, 2001.

Andreas GeyerSchulz, Michael Hahsler, and Georg Schneider. The virtual university and its embedded agents. ÖGAI Journal, 18(1):1419, 1999.